Plotly is an open source Graphing Library works with a number of coding languages and is designed to make interactive graphs that can be displayed in HTML

It works with several coding languages:

• R
• Python
• Java Script

Calling the plotly package allows 2 main ways to create Plotly Graphics

1. via GGPlot by passing a created ggplot to a function called ggplotly
2. Via plotly’s own graphing process that is similar to ggplot

The Plotly Logo

In R there are many similarities between how Plotly and GGPLOT charts are put together.

g <- ggplot(data = data)+aes(x=units.sold, y = income, color = wine,pch = type)+
  geom_point()+ggtitle("Example Plot")
ggplotly(g) %>% layout()

plot_ly(data = data, x= ~units.sold, y= ~income,
        color = ~wine, symbol = ~type) %>% 
  layout(title = " A quick Plotly Graph")

plot_ly(data = data, x= ~factor(wine), y = ~income, type = 'scatter',
       name = 'scatterplot') %>% add_boxplot(name = "boxplot") %>% 
  layout(title = 'Layed Wine Chart')

Plotly also provides a large number of realtively easy options for creating maps via base data frames. Here are some of the options:

Plotly, as part of the interactive promise, offers the ability to create additional items:

For a full list of graphing options and how to execute them visit: https://plotly.com/graphing-libraries/